Theory of Neural Networks - Deep Learning Without Frameworks
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Date: 2022-03-14
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Comments and reviews: 6
Carl
I didn't quite understand the part on negative reversal. So essentially if I have negative input and I'm multiplying it by the weight , how would I make it go into the positive direction? Would I, in this case, square the negative value with itself to receive a positive value? Any explanation on this would be great.
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I didn't quite understand the part on negative reversal. So essentially if I have negative input and I'm multiplying it by the weight , how would I make it go into the positive direction? Would I, in this case, square the negative value with itself to receive a positive value? Any explanation on this would be great.
reply
Fernando
Great explanation, simple and understandable. The need for more hidden layers finally make sense now, and the back propagation thing that I didn't really understand in some readings before makes a lot of sense also. Is there any place where I can find the source code Beau used by the way?
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Great explanation, simple and understandable. The need for more hidden layers finally make sense now, and the back propagation thing that I didn't really understand in some readings before makes a lot of sense also. Is there any place where I can find the source code Beau used by the way?
reply
Timothy
Good talk overall, but the slide at 3:52 is incorrect. ML is one of the techniques used for AI, but AI also uses other techniques (eg: Search, Rule-Based Systems, Probability based decision making, etc.), so it would be more accurate to say AI is a superset of ML.
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Good talk overall, but the slide at 3:52 is incorrect. ML is one of the techniques used for AI, but AI also uses other techniques (eg: Search, Rule-Based Systems, Probability based decision making, etc.), so it would be more accurate to say AI is a superset of ML.
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Jorgen
How many people work on large ai projects like Tesla-s AI and how much time does large scale machine learning projects take? Do you recommend any books that explains the comprehensive mathematical algorithms and code together in an image classifier?
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How many people work on large ai projects like Tesla-s AI and how much time does large scale machine learning projects take? Do you recommend any books that explains the comprehensive mathematical algorithms and code together in an image classifier?
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Norman
Sure sounds like a technique used to flush -bad people- out, who later on might be insignificant relatively. I know how you all do. Training the population to snoop on their own associates and the casually-known.
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Sure sounds like a technique used to flush -bad people- out, who later on might be insignificant relatively. I know how you all do. Training the population to snoop on their own associates and the casually-known.
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venkatteja
This video was shot based on grokking deep learning Text book by Andrew Trask. Have a look at the official text book. The explanations are so damn cool
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This video was shot based on grokking deep learning Text book by Andrew Trask. Have a look at the official text book. The explanations are so damn cool
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